Open Source Mac Raspberry Pi Software
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Raspberry Pi Software for Mac
View 776 business solutionsBrowse free open source Raspberry Pi software and projects for Mac below. Use the toggles on the left to filter open source Raspberry Pi software by OS, license, language, programming language, and project status.
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PINN
PINN is an enhancement of NOOBS
PINN is an enhancement of NOOBS for the Raspberry Pi. It allows the installation of MULTIPLE OSes on the same SD/HDD/SSD device with an OS chooser when booting. Built-in Admin tools allow you to backup & restore your OSes and fix OS problems by including basic disk checking, password changing, and a command shell. -
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Iperf 2
A means to measure network responsiveness and throughput
Throughput testing, latency testing, jitter measurement, packet loss measurement, TCP testing, UDP testing, ECN testing, L4S testing, responsiveness testing, bounceback testing, one-way delay measurement, histogram reporting, multicast testing, IPv6 support, parallel streams, bidirectional testing, full-duplex testing, congestion-control testing, socket pacing, CSV output, embedded systems support Current release: 2.2.2, Sept 29 , 2026 About iperf 2 and iperf3: Read about the differences between these programs at https://iperf2.sourceforge.io/IperfCompare.html Man page: https://iperf2.sourceforge.io/iperf-manpage.html Manual: https://iperf2.sourceforge.io/iperf2-user-manual.html -
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balenaEtcher
A safe way to flash OS images to SD cards & USB drives
Etcher is a powerful OS image flasher. It protects a user from accidentally overwriting hard-drives by making drive selection obvious; and with validated flashing there is no more writing images to corrupted drives. It is also called balenaEtcher since it is developed by balena. In addition, balenaEtcher can flash directly Raspberry Pi devices that support usbboot. Use for .iso and .img files, as well as zipped folders to create live SD cards and USB flash drives. Written with Electron for cross platform use (windows, macOS, and Linux). -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Universal G-Code Sender
A cross-platform G-Code sender for GRBL, Smoothieware, etc.
A full-featured gcode platform used for interfacing with advanced CNC controllers like GRBL , TinyG, g2core and Smoothieware. Universal Gcode Sender is a self-contained Java application that includes all external dependencies and can be used on most computers running Windows, MacOSX or Linux. With older versions of GRBL UGS is pretty reliable when it comes to jogging, but there are limitations. With GRBL 1.1 this is no longer the case when using the new JOG MODE syntax. This first-class jog mode guarantees the GCODE state will be unaltered and also allows you to stop a jog while it is in progress. UGS uses this new syntax automatically when it detects a version of GRBL which supports it. -
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. Very detailed documentation provided. -
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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XBian
XBian is a small, fast and lightweight media center linux distro
XBian is a free, Open Source media center distribution for mini computers (currently Raspberry Pi, Solidrun's CuBox-i/Hummingboard supported). It can be downloaded at http://www.xbian.org. Our slogan is "bleeding edge" as our main focus is delivering the fastest media center solution. We believe that everyone can help make XBian better. Please visit our website for support and if you have suggestions, wishes or contributions, please share them with us! Want more info about XBian? You can read everything about it here: http://www.xbian.org/what-is-xbian/ -
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Node-RED
Low-code programming for event-driven applications
Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click. Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CNCjs
A web-based interface for CNC milling controller running Grbl, Marlin,
A web-based interface for CNC milling controller running Grbl, Smoothieware, or TinyG. It runs on a Raspberry Pi or a laptop computer that you have Node.js installed, connecting to the Arduino over a serial connection using a USB serial port, a Bluetooth serial module, or a Serial-to-WiFi module like XBee or USR-WIFI232-T. -
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EtchDroid
An application to write OS images to USB drives, on Android
EtchDroid is an open-source application that writes disk images to USB drives. Use it to make a bootable operating system USB drive when your laptop is dead. -
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RtspSimpleServer
ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy
rtsp-simple-server is a ready-to-use and zero-dependency server and proxy that allows users to publish, read and proxy live video and audio streams. Publish live streams to the server Read live streams from the server. Proxy streams from other servers or cameras, always or on-demand. Streams are automatically converted from a protocol to another. For instance, it's possible to publish a stream with RTSP and read it with HLS. Serve multiple streams at once in separate paths Authenticate users; use internal or external authentication. Redirect readers to other RTSP servers (load balancing) Query and control the server through an HTTP API. Reload the configuration without disconnecting existing clients (hot reloading) Read Prometheus-compatible metrics. Run external commands when clients connect, disconnect, read or publish streams. Natively compatible with the Raspberry Pi Camera. Compatible with Linux, Windows and macOS, does not require any dependency or interpreter. -
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DragonOS_Pi64
SDR Focused Distribution for the Raspberry Pi
***** Requires a 32GB or larger SD card ****** Default Username = dragon Default Password = dragon Recommend running the SDRPlay API installer located under "other". DragonOS Pi64 is an out-of-the-box aarch64 Raspberry Pi (Debian 13) based operating system for anyone interested in software defined radios. All source installed software is located in the /usr/src directory while the remaining software was installed by package managers. Should support: HackRF RTLSDR Airspy LimeSDR Ettus/USRP BladeRF Yardstick One SDRPlay Ubertooth PlutoSDR AntSDR And other SDRs, Hardware, etc. -
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avbuild
ffmpeg build tool and prebuilt packages for all platforms
iOS, android, raspberry pi, windows store, windows desktop, linux, macOS etc. Multiple toolchains support, include gcc, clang, vs2013, vs2015, vs2017. Hardware accelerated decoders and encoders support. Source code: https://github.com/wang-bin/avbuild -
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FreeJ2ME
A J2ME emulator for Windows, Linux, and Raspberry Pi
FreeJ2ME is a simple J2ME emulator with a focus on old mobile phone games. It was designed to run on Windows, desktop Linux, and on the Raspberry Pi 3 using Libretro and Retroarch as provided by RetroPie. It supports some games not playable using MicroEmulator and Kemulat0r, though it does not support every game those play. At the moment, it's best to have all three if you're interested in those types of games. Some games only run at specific resolutions. Per-game configuration is available from the menu (by pressing esc). Preferences are saved and will automatically load. Games automatically scale with the window size, making it easy to play games designed for smaller screen sizes. The Java portion can be built using Apache Ant with the build.xml file provided. The Libretro core can be built using the build.sh script. Installation instructions for the Libretro core for RetroPie are included. Follow the development process here: https://github.com/hex007/freej2me -
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Home Assistant
Open source home automation that puts local control and privacy first
Home Assistant is a powerful open source home automation app that prioritizes local control and privacy. It offers great security and features while keeping your data securely out of the cloud. It can give you control of all your devices from a single, mobile-friendly interface and will track the state of all these devices so you don’t have to. Home Assistant is powered by a worldwide community and runs ideally on a Raspberry Pi or a local server. It can be set up to automatically control devices, so whether you want to be alerted when the lights turn on when you’re not at home, or want the lights to automatically dim when you start to watch a movie on Chromecast, Home Assistant can do it for you. See more examples on the official website: https://www.home-assistant.io/ -
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RetroPie BIOS
Full BIOS collection for RetroPie
RetroPie BIOS is a curated collection of BIOS files intended for use with the RetroPie emulation platform, providing the essential firmware required to run a wide range of classic gaming systems. The repository organizes BIOS files for numerous consoles and arcade systems, ensuring compatibility with RetroPie and related emulation environments. Each file in the collection has been verified against reference databases such as the Libretro system definitions, ensuring accuracy and reliability. The project simplifies the process of setting up emulation systems by consolidating required BIOS files into a single, organized package that users can directly integrate into their RetroPie installation. It also includes checksum validation mechanisms, allowing users to verify file integrity and ensure that BIOS files match expected standards. By maintaining a structured and verified dataset, the repository reduces common issues associated with missing or incorrect BIOS files. -
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AWS IoT Device SDK v2 for Python
Next generation AWS IoT Client SDK for Python
Next-generation AWS IoT Client SDK for Python using the AWS Common Runtime. This document provides information about the AWS IoT Device SDK v2 for Python. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-compression, aws-c-http, aws-c-cal, aws-c-auth, s2n ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Python by the awscrt package (PyPI). AWS IoT provides the cloud services that connect your IoT devices to other devices and AWS cloud services. AWS IoT provides device software that can help you integrate your IoT devices into AWS IoT-based solutions. If your devices can connect to AWS IoT, AWS IoT can connect them to the cloud services that AWS provides. AWS IoT lets you select the most appropriate and up-to-date technologies for your solution. -
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Homebridge Raspberry Pi Image
Homebridge Raspberry Pi Image based on Raspberry Pi OS Lite
This project provides a free Raspbian-based Raspberry Pi image with Homebridge and Homebridge Config UI X pre-installed. This image also provides a command called hb-config which helps you keep Node.js up-to-date, perform maintenance on your Homebridge server, and install additional optional software such as Pi Hole and deCONZ. The Homebridge service is installed using the method described in the Raspberry Pi Installation Guide on the Homebridge project wiki. The easiest way to flash the Homebridge Raspberry Pi Image to your SD card is to use the Raspberry Pi Imager. Raspberry Pi Imager will now download and flash the latest version of the Homebridge Raspberry Pi Image to your SD card, this may take several minutes depending on the speed of your internet connection and SD card. The Homebridge UI web interface will allow you to install, remove and update plugins, and modify the Homebridge config.json and manage other aspects of your Homebridge service. -
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Mirrorcast
Open Source Alternative to Chromecast, Mirror Desktop and Play media r
The idea is to replicate what Chromecast can do in regards to screen mirroring and streaming media to a remote display. Google chromes screen mirroring feature works well when used with a receiver such as Chromecast but this is a proprietary solution and audio does not work for desktop mirroring on some operating systems. At the moment, there is only a client for Debian/Ubuntu Operating systems and a server/receiver application for Raspberry pi. Mirrorcast aims to be a low latency screen mirroring solution with high-quality video and audio at 25-30fps, the later is why we will not use something like VNC. Mirrorcast uses up about the same amount of system resources as google chromes cast feature. The delay is less than 1 second on most networks. To achieve this we will use existing FOSS software such as ffmpeg, mpv, and omxplayer. -
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KB1OIQ - Andy's Ham Radio Linux
Install ham radio software on Debian Live, RPi OS, or Ubuntu Linux
Latest Version: - Version v27: May 3rd, 2026 Version 27 ======== AHRL can be installed on top of Debian Live, Raspberry Pi OS, or any supported flavor of Ubuntu Linux. The supported Linux flavors are listed in the GETTING_STARTED document. An installation script does all of the work. Please download and read the bug workarounds file: https://sourceforge.net/projects/kb1oiq-andysham/files/v27/V27_Bug_Workarounds.txt Please download and READ the installation instructions: https://sourceforge.net/projects/kb1oiq-andysham/files/v27/GETTING_STARTED Watch a video of Andy (KB1OIQ) as he talks about AHRL during a ham radio convention in MA in the summer of 2025: https://www.youtube.com/watch?v=hwuKZK1dKcU&t=2086s Several videos of Andy's complete AHRL presentation can be found on YouTube. Here is one made in March 2026: https://youtu.be/xv9YnREmeAA?si=yMTX8yJsQFyeJG0i -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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raspberry-gpio-python
A Python module to control the GPIO on a Raspberry Pi
To get started with RPi.GPIO, it would be worthwhile reading the examples in the project wiki (link above). Note that this module is unsuitable for real-time or timing critical applications. This is because you can not predict when Python will be busy garbage collecting. It also runs under the Linux kernel which is not suitable for real time applications - it is multitasking O/S and another process may be given priority over the CPU, causing jitter in your program. If you are after true real-time performance and predictability, buy yourself an Arduino! (see http://www.arduino.cc ) Note that the current release does not support SPI, I2C, 1-wire or serial functionality on the RPi yet. This is planned for the near future - watch this space! -
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FarmBot OS
The operating system and all related software
The operating system and all related software that runs on FarmBot's Raspberry Pi. The FarmBot OS release page has moved to my.farm.bot/os. Old versions of FarmBot OS can still be found. Get configured over WiFi, mitigating the need to plug in a mouse, keyboard, or screen. Communicate with the web application over WiFi or ethernet so that it can synchronize (download) sequences, regimens, farm designs, events, and more; upload logs and sensor data; and accept real-time commands. Communicate with the Farmduino to send G and F commands and receive sensor and encoder data. Take photos with a USB or Raspberry Pi camera, and upload the photos to the web application. You must use a .img writing tool to write FarmBot OS onto the microSD card. We recommend downloading and installing balenaEtcher for this purpose. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support libraries and examples are provided in separate repositories, links to these are provided below. The software currently builds under Linux (desktops variants through to Jetson & Raspberry Pi), Windows (VisualStudio, MinGW & Cygwin), Android, and macOS & iOS (using MoltenVk).
